SCUDDO: an unsupervised clustering algorithm for single-cell Hi-C maps using diagonal diffusion operators.

Saved in:
Bibliographic Details
Title: SCUDDO: an unsupervised clustering algorithm for single-cell Hi-C maps using diagonal diffusion operators.
Authors: Maisuradze L; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, United States., Shattuck MD; Benjamin Levich Institute and Physics Department, The City College of New York, New York, NY 10031, United States., O'Hern CS; Department of Mechanical Engineering, Yale University, New Haven, CT 06520, United States.; Graduate Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT 06520, United States.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2026 May 03; Vol. 42 (5).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btag284